Title
RESIN: A Dockerized Schema-Guided Cross-document Cross-lingual Cross-media Information Extraction and Event Tracking System
Abstract
We present a new information extraction system that can automatically construct temporal event graphs from a collection of news documents from multiple sources, multiple languages (English and Spanish for our experiment), and multiple data modalities (speech, text, image and video). The system advances state-of-the-art from two aspects: (1) extending from sentence-level event extraction to cross-document cross-lingual cross-media event extraction, coreference resolution and temporal event tracking; (2) using human curated event schema library to match and enhance the extraction output. We have made the dockerlized system publicly available for research purpose at GitHub(1), with a demo video(2).
Year
DOI
Venue
2021
10.18653/v1/2021.naacl-demos.16
2021 CONFERENCE OF THE NORTH AMERICAN CHAPTER OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS: HUMAN LANGUAGE TECHNOLOGIES: DEMONSTRATIONS (NAACL-HLT 2021)
DocType
Citations 
PageRank 
Conference
0
0.34
References 
Authors
0
10
Name
Order
Citations
PageRank
Haoyang Wen152.49
Ying Lin200.68
Tuan Manh Lai351.73
Xiaoman Pan451.48
S Li500.68
Xudong Lin652.77
Ben Zhou762.46
Manling Li887.89
H Wang900.34
H Zhang1000.34